Building Batch Data Analytics Solutions on AWS
Learn to build batch data analytics solutions using Amazon Elastic Map Reduce (EMR)
Building Batch Data Analytics Solutions on AWS
Do you need to operate, and scale your big data environments by automating time-consuming tasks? The Building Batch Data Analytics Solutions on AWS course will help you learn how to build batch data analytics solutions using Amazon EMR to optimize cost and performance.
This course is part of the Building Modern Data Analytics Solutions on AWS collection of four, one-day, intermediate-level classroom training courses. Learn more »
Course overview
Course overview
- Level: Intermediate
- Type: Classroom (virtual and in person)
- Length: 1 day
What you'll learn
- Compare the features and benefits of data warehouses, data lakes, and modern data architectures
- Design and implement a batch data analytics solution
- Identify and apply appropriate techniques, including compression, to optimize data storage
- Select and deploy appropriate options to ingest, transform, and store data
- And much more
Who should take this course
- Data platform engineers
- Architects and operators who build and manage data analytics pipelines
What experience you'll need
- Students with a minimum one-year experience managing open-source data frameworks such as Apache Spark or Apache Hadoop will benefit from this course
- We suggest the AWS Hadoop Fundamentals course for those that need a refresher on Apache Hadoop
- We recommend that attendees of this course have:
- Completed either AWS Technical Essentials or Architecting on AWS
- Completed either Building Data Lakes on AWS or Getting Started with AWS Glue
What languages are offered
This course is offered in the following languages: English, French (France), German, Japanese, Korean, Portuguese (Brazil), Simplified Chinese, Spanish (Latin America), and Traditional Chinese.
We regularly update our courses based on customer feedback and AWS service updates. As a result, course content may vary between languages while we localize these updates.